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Add banner image to README
24d65a0 -
Add visual flowcharts and diagrams to README
Enhanced README with Mermaid diagrams for better visual understanding: New diagrams added: 1. High-Level Concept - multi-agent overview showing all 195 agents 2. System Architecture - complete data flow from input to output 3. Agent Processing Flow - sequence diagram of execution 4. Agent System Prompts - template to agents visualization 5. Validation Pipeline - decision tree for error handling 6. Execution Flow - detailed loop through 195 countries 7. Output Structure - JSON result organization 8. Case Study Results - pie chart of vote distribution Visual improvements: - Color-coded nodes (blue=input, purple=processing, green=success, orange=validation, red=errors) - Clear subgraphs for logical grouping - Arrows showing data flow - Consistent styling throughout Makes the technical architecture immediately understandable through visuals rather than text-only descriptions. 🤖 Generated with [Claude Code](https://claude.com/claude-code) Co-Authored-By: Claude <noreply@anthropic.com>3478ac2 -
Major refocus: System architecture over vote results
Complete redesign emphasizing the AI system framework: App structure (no emojis): 1. System Architecture - multi-agent design, structured outputs, model config 2. System Prompt Design - shows generic templates, country explorer 3. Structured Output Schema - JSON constraints, validation rules, user prompt template 4. Task Execution - execution flow, CLI usage, output format 5. Case Study Gaza Ceasefire - consolidated all resolution content here README updates: - Focus on multi-agent simulation framework - Emphasize structured outputs and JSON constraints - Highlight task execution model - Case study as example, not primary focus - Technical implementation details front and center Key improvements: - All emojis removed from app - Resolution content consolidated into single case study tab - Primary focus on system design, not voting results - Detailed execution flow and CLI documentation - JSON schema and validation prominent - Clear technical architecture exposition 🤖 Generated with…f209cc2 -
Redesign app to focus on experiment methodology
Major restructure prioritizing the AI experiment over voting results: Tab 1: The Experiment - explains agent architecture, system prompts, process Tab 2: System Prompt Explorer - view any country's system prompt Tab 3: The Resolution - shows the motion text Tab 4: Case Study Gaza Ceasefire - voting results (moved to secondary position) Tab 5: Agent Response Inspector - compare prompt → response Tab 6: All Responses - complete data table Key improvements: - Emphasizes this is an AI research experiment, not prediction - Shows system prompts are generic templates - Explains how AI infers positions from training data - Clear disclaimers about limitations - Links to open source code and prompts 🤖 Generated with [Claude Code](https://claude.com/claude-code) Co-Authored-By: Claude <noreply@anthropic.com>617208b -
Update README with Hugging Face metadata
c266ed1 -
Add Gradio visualization for UN Gaza ceasefire resolution simulation
- Interactive Gradio app with vote summary, regional analysis, and country details - Requirements updated with gradio, pandas, plotly - Hugging Face Space README with proper metadata - All binary images tracked with Git LFS 🤖 Generated with [Claude Code](https://claude.com/claude-code) Co-Authored-By: Claude <noreply@anthropic.com>8c1f582 -
initial commit
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